The Swedish National Facility for Magnetoencephalography Parkinson’s disease dataset

Parkinson’s disease (PD) is characterised by a loss of dopamine and dopaminergic cells. The consequences hereof are widespread network disturbances in brain function. It is an ongoing topic of investigation how the disease-related changes in brain function manifest in PD relate to clinical symptoms....

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Bibliographic Details
Published in:Scientific data 2024-01, Vol.11 (1), p.150-11, Article 150
Main Authors: Vinding, Mikkel C., Eriksson, Allison, Comarovschii, Igori, Waldthaler, Josefine, Manting, Cassia Low, Oostenveld, Robert, Ingvar, Martin, Svenningsson, Per, Lundqvist, Daniel
Format: Article
Language:English
Subjects:
631/378/2629
692/617/375/1718
Data Descriptor
Datasets
Dopamine
Dopamine receptors
Humanities and Social Sciences
Humans
Magnetoencephalography
Movement
Movement disorders
multidisciplinary
Neurodegenerative diseases
Parkinson Disease - diagnosis
Parkinson's disease
Science
Science (multidisciplinary)
Sweden
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Summary:Parkinson’s disease (PD) is characterised by a loss of dopamine and dopaminergic cells. The consequences hereof are widespread network disturbances in brain function. It is an ongoing topic of investigation how the disease-related changes in brain function manifest in PD relate to clinical symptoms. We present The Swedish National Facility for Magnetoencephalography Parkinson’s Disease Dataset (NatMEG-PD) as an Open Science contribution to identify the functional neural signatures of Parkinson’s disease and contribute to diagnosis and treatment. The dataset contains whole-head magnetoencephalographic (MEG) recordings from 66 well-characterised PD patients on their regular dose of dopamine replacement therapy and 68 age- and sex-matched healthy controls. NatMEG-PD contains three-minute eyes-closed resting-state MEG, MEG during an active movement task, and MEG during passive movements. The data includes anonymised MRI for source analysis and clinical scores. MEG data is rich in nature and can be used to explore numerous functional features. By sharing these data, we hope other researchers will contribute to advancing our understanding of the relationship between brain activity and disease state or symptoms.
ISSN:2052-4463
2052-4463
DOI:10.1038/s41597-024-02987-w